Robotics & Machine Learning Daily News2024,Issue(Oct.24) :85-86.

Recent Research from Lanzhou University Highlight Findings in Robotics (A Kalman -koopman Lqr Control Approach To Robotic Systems)

Robotics & Machine Learning Daily News2024,Issue(Oct.24) :85-86.

Recent Research from Lanzhou University Highlight Findings in Robotics (A Kalman -koopman Lqr Control Approach To Robotic Systems)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Robotics. According to news reporting out of Lanzhou, People’s Republic of China, by NewsRx editors, research stated, “This article presents a Kalman-Koopman linear quadratic regulator (KKLQR) control approach to robotic systems. In the proposed approach, an optimal Koopman modeling method based on neural networks, in which continuous Koopman eigenfunctions are constructed without requiring any predefined dictionary, is proposed to obtain approximated linear models with high precision for robotic systems.”

Key words

Lanzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots/Lanzhou University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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